Smart Campus: An Experimental Performance Comparison of Collaborative and Cooperative Schemes for Wireless Sensor Network

Del-Valle-Soto, Carolina; Valdivia, Leonardo J.; Velázquez, Ramiro; Rizo-Dominguez, Luis; López-Pimentel, Juan Carlos

doi:10.3390/en12163135

Cited by 34 publications

(17 citation statements)

References 39 publications

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“…ese conditions have become the basis for the integration and mutual promotion of physical education learning between teachers and students [19]. For example, in the process of physical education teaching extending to extracurricular activities, teachers can use WeChat platform to extend teaching to the classroom, in a broader and more convenient virtual network space [20].…”

Section: Promotion Of Team Cooperation In Public Sportsmentioning

confidence: 99%

Construction of the Teaching Quality Monitoring System of Physical Education Courses in Colleges and Universities Based on the Construction of Smart Campus with Artificial Intelligence

Huang

Wang

2021

Mathematical Problems in Engineering

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With regard to the development of colleges and universities, ensuring the quality of education is the fundamental goal and main task of teaching daily management. With the continuous improvement of the application level of the Internet and other information technologies, the construction of smart campus in colleges and universities in China is rapidly advancing. This paper studies the construction and innovation strategy of the public sports quality monitoring system and discusses the changes in college students’ sports quality after the introduction of smart campuses from the perspective of artificial intelligence and the creation of smart universities. In this paper, the field survey method and other research methods are combined to study, and in the process of data storage, SQL Server database platform is used to store the data. This study shows that the proportion of each element of physical state management has changed significantly before and after college entrance. According to the data, since the introduction of smart campus real name system identification, tracking data, and evaluation functions, the number of college students’ physical exercise has increased significantly. The number of students with exercise plan in school 1 has increased from 70 to 222, and that of school 2 has increased from 49 to 199. Before the introduction, the students were very satisfied with the learning effect of physical education, which was 40.12% and increased to 45.70% after the introduction. Before the introduction, the students were very satisfied with the sports equipment, which was 30.12% before the introduction and increased to 35.24% after the introduction. Therefore, building a system for monitoring the quality of public sports in universities is very important for improving the quality of education in public sports in universities and plays an active role in promoting the physical and mental health of students.

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Section: Promotion Of Team Cooperation In Public Sportsmentioning

confidence: 99%

Construction of the Teaching Quality Monitoring System of Physical Education Courses in Colleges and Universities Based on the Construction of Smart Campus with Artificial Intelligence

Huang

Wang

2021

Mathematical Problems in Engineering

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“…It demonstrates the performance of LoRaWAN with different node densities, coverage, and depth of the sensor nodes. Soto et al [123] compared the performance metrics of ZigBee, LoRa, Bluetooth, and WiFi. However, the accuracy of simulation results is not always identical to a real-life deployment, but only gives a relative glance from the actual results.…”

Section: Simulatorsmentioning

confidence: 99%

AgriFusion: An Architecture for IoT and Emerging Technologies Based on a Precision Agriculture Survey

Singh¹,

Berkvens

Weyn

2021

IEEE Access

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Precision Agriculture (PA) is a management strategy that utilizes communication and information technology for farm management. It is a key to improve productivity by using the best agricultural practices and optimal usage of resources. Agriculture faces diverse challenges due to soil degradation, climate variation, and increasing costs. To unfold these challenges, PA uses Wireless Sensor Networks(WSNs) and exploits acquisition, communication, and processing of the data as basic enabling technologies to amplify the crop yield. Also, many other multidisciplinary technologies are supporting PA in finding the most novel use cases for PA. The use of Machine Learning (ML) and Artificial Intelligence (AI) has transformed PA at almost every level. The fog/edge paradigm is mitigating many challenges such as network bandwidth and security by bringing computation closer to the deployed network. At the same time, Software Defined Networks (SDN) brings flexibility, big data assists in handling data, and nano-technology plays a crucial part in driving the innovation in PA. This paper delves into ways these technologies are transforming PA in respective tracks, exhibiting the significance of integrating multidisciplinary approaches towards the future of PA. In addition to a comprehensive survey, this paper proposes a multidisciplinary architecture: AgriFusion, for efficient and cost-effective agriculture solutions. A list of industrial solutions for different aspects of farm management and their underlying focused technology have been highlighted. This can help to align research and industrial goals for PA. Furthermore, this paper defines a step approach to describe the performance dichotomy between resource availability and objectives for PA. In addition, solution architecture is proposed for designing Key Performance Indicators (KPI) in PA. In the end, some open research issues in implementing PA and respective future scopes have been presented.

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“…According to Del-Valle-Soto et al [177], WSN is considered the most critical element of the IoT model, allowing scalability and supporting its integration with thecurrent Internet architecture. The authors compared four IoT protocols (BLE, LoRaWAN, Wi-Fi and ZigBee), each with two energy optimization schemes.…”

Section: A Wireless Sensor Network and Wireless Infrastructuresmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

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Novel intelligent systems to assist the energy transition and improve sustainability and people's life can be deployed at different scales, ranging from a house to an entire region. University campuses are an interesting intermediate size (big enough to matter and small enough to be tractable) for research, development, test and training on the integration of smartness at all levels, which led to the emergence of the concept of "smart campus" over the last few years. This review article proposes an extensive analysis of the scientific literature on smart campuses from the last decade (2010-2020). The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. The present work was carried out within the framework of the Energy Network of the Regional Leaders Summit (RLS-Energy) as part of its multilateral research efforts on smart regions.

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Smart Campus: An Experimental Performance Comparison of Collaborative and Cooperative Schemes for Wireless Sensor Network

Cited by 34 publications

References 39 publications

Construction of the Teaching Quality Monitoring System of Physical Education Courses in Colleges and Universities Based on the Construction of Smart Campus with Artificial Intelligence

Construction of the Teaching Quality Monitoring System of Physical Education Courses in Colleges and Universities Based on the Construction of Smart Campus with Artificial Intelligence

AgriFusion: An Architecture for IoT and Emerging Technologies Based on a Precision Agriculture Survey

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

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